Group Manager Payments Engineering Manager – Intelligent Automation
CitiMatch Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Lead and develop a software engineering team delivering AI-enabled intelligent automation solutions for Payments Operations and Client Servicing.
Own end-to-end engineering delivery including design, development, deployment, production support, and operational excellence of scalable AI and automation platforms.
Provide hands-on technical leadership in architecture, solution design, technology selection, and drive cloud-native, microservices, and AI-driven workflow automation aligned with business priorities.
Minimum Requirements
15+ years of software engineering experience with large-scale enterprise applications and distributed systems.
5+ years experience leading software engineering teams, including globally distributed teams.
Proven hands-on experience deploying Generative AI, LLMs, Agentic AI, or intelligent automation solutions into production with measurable business impact.
In-depth technical expertise in Java, Spring Boot, microservices, event-driven architectures (Kafka), cloud-native platforms (Kubernetes, OpenShift), and modern DevOps practices.
Ideal Candidate Profile
Experienced leader who balances strategic oversight with active technical engagement in software architecture and delivery.
Deep domain expertise in AI architectures including Retrieval-Augmented Generation, AI agents, workflow orchestration, and human-in-the-loop automation.
Skilled at partnering with senior business and tech stakeholders in regulated environments to translate business needs into scalable technology solutions.